What You'll Learn

• Understand Artificial Intelligence and Machine Learning risks
• Create an AI governance framework for your organization
• Identify and manage cyber-security risks related to AI systems
• Implement security controls throughout the Machine Learning model lifecycle
• Leverage ChatGPT to enhance cybersecurity processes

Requirements

• No prior knowledge of AI or Machine Learning needed
• No programming or data science experience required

Description

Artificial Intelligence (AI) is transforming lives and industries worldwide, with the global AI market projected to reach around $126 billion by 2025. As AI systems increasingly influence critical decisions, new and unique risks emerge, requiring specialized governance and cybersecurity strategies.

This recently updated course (featuring the AWS Generative AI Security Scoping Matrix) fills an important gap by guiding professionals through the complex landscape of AI risk management. According to Gartner’s Market Guide for AI Trust, Risk, and Security Management, AI introduces novel trust and security challenges that traditional controls do not adequately address.

Whether you’re a risk management professional, cybersecurity expert, or AI practitioner, this course teaches you to:

• Identify key AI and Machine Learning risks and mitigation strategies
• Develop and implement governance frameworks to manage AI risks
• Understand the cybersecurity threats unique to AI systems
• Apply security controls across all stages of the ML lifecycle
• Utilize ChatGPT to improve your security workflows

No prior technical or AI knowledge is assumed — this course makes AI risk and security accessible to all professionals.

Who This Course Is For

• Risk management professionals
• Cybersecurity experts seeking AI-specific controls knowledge
• AI professionals looking to understand the risks in their domain

Course Resources

Preview link: Udemy Course Preview

Download link: Mega.nz Course Files